The NFV decouples the software and hardware sections to waive off the dependency of software on hardware and NS creates parallel network functions to achieve network deployment and management on demand. The function of SDN is to decouple the control function to achieve programmable configuration and network management. A junction of SDN, network slicing, NFV, and AI can bring about zero-touch and dynamic network composition. Self aggregation of different radio technologies can be achieved with the help of AI for liquidized networks and satisfactory demands of constantly changing applications and services. The authors in [1]} have clearly indicated the importance of AI in the architecture of the new 6g network as it is capable of real-time monitoring. AI will also escalate the network utility and improve the quality of experience. In order to promote the inclusion of AI in the 6G network design, machine learning must be the centre of attraction [1]}.
